Real-time surgical instrument detection in robot-assisted surgery using a convolutional neural network cascade

Real-time surgical instrument detection in robot-assisted surgery using a convolutional neural network cascade

Surgical instrument detection in robot-assisted surgery videos is an import vision component for these systems. Most of the current deep learning methods focus on single-tool detection and suffer from low detection speed. To address this, the authors propose a novel frame-by-frame detection method u...

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Bibliographic Details
Main Authors: Zijian Zhao, Tongbiao Cai, Faliang Chang, Xiaolin Cheng
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:Healthcare Technology Letters
Subjects:
object detection
medical image processing
image colour analysis
medical robotics
regression analysis
surgery
learning (artificial intelligence)
convolutional neural nets
robot vision
convolutional neural network cascade
robot-assisted surgery videos
vision component
single-tool detection
cascading convolutional neural network
cnn
real-time multitool detection
hourglass network
modified vgg network
detection heatmaps
tool tip areas
bounding-box regression
authors
mainstream detection methods
rgb image frames
frame-by-frame detection method
deep learning methods
endovis challenge dataset
atlas dione dataset
real-time surgical instrument detection
real-time multi-tool detection
Online Access:https://digital-library.theiet.org/content/journals/10.1049/htl.2019.0064

Internet

https://digital-library.theiet.org/content/journals/10.1049/htl.2019.0064

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